Evidence map›Paper›PMID 41536750›Full record

ArticleJAR life2026

Agricultural activities maintain vigor and plant-based protein intake in older adults with type 2 diabetes: A feasibility study.

Sachiko Tsukamoto-Kawashima, Kaori Ikeda, Fumika Mano-Usui, Emi Okamura, Aki Kondo, Erina Joo, Eri Maai, Kazusa Nishimura, Tomoyuki Nabeshima, Rihito Takisawa and 7 more

Abstract read
In one paragraph

Article in JAR life, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Sachiko Tsukamoto-KawashimaDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Kaori IkedaDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Fumika Mano-UsuiDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Emi OkamuraDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Aki KondoDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Erina JooDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Eri MaaiExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Kazusa NishimuraExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Tomoyuki NabeshimaExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Rihito TakisawaExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Yasuki MatsumuraExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Akira KitajimaExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Tohru TominagaExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Ryohei NakanoExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Tetsuya NakazakiExperimental Farm, Graduate School of Agriculture, Kyoto University, 4-2-1 Shiroyamadai, Kizugawa city, Kyoto, 619-0218, Japan.
Daisuke YabeDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Nobuya InagakiDepartment of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study explored the feasibility of agricultural activities for older adults with type 2 diabetes and the psychological and nutritional effects of the activities. Methods: Nine adults over 65 years of age, capable of performing agricultural activities without assistance were randomly assigned to two groups in a crossover design. Participants engaged in one-hour morning agricultural activities at the Kyoto University farm once a week for 15 weeks (July-November). The Wilcoxon rank-sum test compared Δ values, representing changes from baseline to follow-up, between control and intervention years. Results: Six participants (three each group) completed the protocol. After the assignment of nine, one participant withdrew, and two others were unable to participate in any agricultural activities due to busy schedules. The procedures were performed safely and no adverse events were reported. Vigor/Activity scores of the Profile of Mood States (POMS-VA) indicated significantly maintained vigor in the intervention year; the median Δ POMS-VA was -13 in the control year and 2 in the intervention year ( Conclusions: Weekly agricultural activities for older adults with type 2 diabetes showed potential as a therapeutic option, warranting further investigation in a larger and more diverse populations of older patients.

Indexed as

AgricultureDietMoodPOMS

Identifiers

PMID41536750
PMCPMC12795674

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.